数据分析与咨询
#research
uzi
A-share, Hong Kong, and US stock analysis skill for deep research, quick scans, investor panel review, hot-money/LHB analysis, trap detection, valuation, IC memos, and Bloomberg-style HTML reports.
DeepseekModel
官方收录技能
质量 优秀 · 90
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=wbh604-uzi-skill-skill-md&format=skill
下载 .skill
标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name uzi description A-share, Hong Kong, and US stock analysis skill for deep research, quick scans, investor panel review, hot-money/LHB analysis, trap detection, valuation, IC memos, and Bloomberg-style HTML reports. version 3.9.4 author FloatFu-true license MIT metadata {"tags":["finance","stocks","a-share","hong-kong","us-stocks","dcf","valuation","investor-panel","youzi","lhb","trap-detection"],"related_skills":["deep-analysis","investor-panel","lhb-analyzer","trap-detector"]} UZI Skill Root This root file is the top-level entry for agents that expect a SKILL.md at the repository root. Use the narrowest matching workflow: Full stock research, valuation, IC memo, initiation, catalysts, earnings review, or HTML report: read skills/deep-analysis/SKILL.md . Investor jury, "which investors would buy", panel-only voting, or persona review: read skills/investor-panel/SKILL.md . Hot-money, LHB, seat recognition, or A-share short-term trader analysis: read skills/lhb-analyzer/SKILL.md . Trap detection, pump-and-dump checks, "teacher/group/friend recommended this stock", or safety review: read skills/trap-detector/SKILL.md . Command-specific requests: read the matching file under commands/ . Default Execution From the repository root: python3 run.py <ticker> --no-browser For remote/mobile reports: python3 run.py <ticker> --remote For a single investor school, such as A-share hot-money: python3 run.py <ticker> --school F --no-browser Agent Rules Treat scripts as data and scoring tools, not as final analyst judgment. Do not invent numbers. Use script outputs, cached JSON, or current public evidence. For serious deep-analysis requests, complete the agent review loop described in skills/deep-analysis/SKILL.md before final report assembly. For hot-money analysis, apply LHB seat matching and is_in_range() before making a short-term judgment. For trap detection, scan all eight signals and include concrete evidence when risk is non-trivial. For report template or UI changes, update tests, version metadata, and release notes together.
Agent 识别该技能的关键词,点击任意一个即可复制。
该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |